Results 51 to 60 of about 131,744 (288)

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Extracting finite structure from infinite language [PDF]

, 2004
This paper presents a novel connectionist memory-rule based model capable of learning the finite-state properties of an input language from a set of positive examples. The model is based upon an unsupervised recurrent self-organizing map [T.
A.A. Hopgood, Baretto, Bengio, Chomsky, Cleeremans, Cohen, Collier, Elman, Gold, Hopcroft, Hopgood, J.A. Tepper, Kohonen, Kolen, Lawrence, Marcus, Omlin, Pinker, Sharkey, T. McQueen, T.J. Allen, Voegtlin   +21 more
core   +2 more sources

Rethinking Power Solutions for Healthcare Wearables: From Point‐of‐Care and Episodic use to Continuous Monitoring and Therapeutic Platforms

Advanced Energy and Sustainability Research, EarlyView.
This Perspective examines practical power solutions for wearable healthcare systems, highlighting the limits of standard batteries. It categorizes wearables into four domains—point‐of‐care diagnostics, episodic monitoring, continuous long‐term monitoring, and therapeutic platforms—and analyzes their power needs.
Seokheun Choi
wiley   +1 more source

Higher-order thoughts in action : Consciousness as an unconscious re-description process [PDF]

, 2012
Peer ...
Antoine Pasquali, Axel Cleeremans, Baars B. J., Bert Timmermans, Dennett D. C., Dienes Z., Frith C. D., Hinton G. E., Hofstadter D. R., Karmiloff-Smith A., Leonhard Schilbach, Maniscalco B., Mealor A., Noë A., Noë A., Reddy V., Rosenthal D. M., Schilbach L., Sutton R. S.   +18 more
core   +1 more source

Educational Impact of Artificial Intelligence‐Navigation Surgery on Anatomical Landmark Recognition in Medical Students

Annals of Gastroenterological Surgery, EarlyView.
This study evaluated the educational impact of artificial intelligence (AI)‐navigation surgery that provides real‐time anatomical landmark recognition during laparoscopic cholecystectomy for medical students. Thirty students were randomized into surgeon‐guided, self‐learning, and AI‐learning groups, and their performance was assessed using Dice ...
Shigeo Ninomiya, Yusuke Matsunobu, Tabito Oyama, Hiroomi Takayama, Takashi Masuda, Teijiro Hirashita, Yuichi Endo, Tatsushi Tokuyasu, Masafumi Inomata   +8 more
wiley   +1 more source

Artificial language rule learning in school children [PDF]

, 2013
The study investigated the utilization of rule learning to acquire non-adjacent dependencies in artificial languages, and the relationship between rule learning ability and Cantonese grammar ability, in Cantonese-speaking school children in Hong Kong ...
Ng, Lai-yan, 吳麗欣
core  

CHARACTERISTICS OF DISSOCIABLE HUMAN LEARNING-SYSTEMS [PDF]

, 1994
A number of ways of taxonomizing human learning have ben proposed. We examine the evidence for one such proposal, namely, that there exist independent explicit and implicit learning systems.
SHANKS, DR, STJOHN, MF
core   +1 more source

Role of selective attention in artificial grammar learning [PDF]

Psychonomic Bulletin & Review, 2008
To investigate the role of selective attention in artificial grammar (AG) learning, participants were presented with "GLOCAL" strings-that is, chains of compound global and local letters. The global and local levels instantiated different grammars. The results of this experiment revealed that participants learned only the grammar for the level to which
Daisuke, Tanaka, Sachiko, Kiyokawa, Ayumi, Yamada, Zoltán, Dienes, Kazuo, Shigemasu   +4 more
openaire   +2 more sources

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

On empirical methodology, constraints, and hierarchy in artificial grammar learning

, 2019
This paper considers the AGL literature from a psycholinguistic perspective. It first presents a taxonomy of the experimental familiarization test procedures used, which is followed by a consideration of shortcomings and potential improvements of the ...
Levelt, W.
core   +1 more source